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Automatic analysis algorithm for acquiring standard dental and mandibular shape data using cone-beam computed tomography
- Source :
- Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018), Scientific Reports
- Publication Year :
- 2018
- Publisher :
- Nature Portfolio, 2018.
-
Abstract
- This study aims to introduce a new algorithm developed using retrospective cone-beam computed tomography (CBCT) data to obtain a standard dental and mandibular arch shape automatically for an optimal panoramic focal trough. A custom-made program was developed to analyze each arch shape of randomly collected 30 CBCT images. First, volumetric data of the mandible were binarized and projected in the axial direction to obtain 2-dimensional arch images. Second, 30 patients’ mandibular arches were superimposed on the center of the bilateral distal contact points of the mandibular canines to generate an average arch shape. Third, the center and boundary of a panoramic focal trough were obtained using smoothing splines. As a result, the minimum thickness and transition of the focal trough could be obtained. If this new algorithm is applied to big data of retrospective CBCT images, standard focal troughs could be established by race, sex, and age group, which would improve the image quality of dental panoramic radiography.
- Subjects :
- Adult
Male
Cuspid
Cone beam computed tomography
Adolescent
Computer science
Image quality
Radiography
Science
Computed tomography
Image processing
Mandible
Article
030218 nuclear medicine & medical imaging
Young Adult
03 medical and health sciences
Sex Factors
0302 clinical medicine
stomatognathic system
Radiography, Panoramic
Image Processing, Computer-Assisted
medicine
Humans
Arch
Retrospective Studies
Multidisciplinary
medicine.diagnostic_test
business.industry
Age Factors
030206 dentistry
Cone-Beam Computed Tomography
Mandibular arch
Medicine
Female
business
Algorithm
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 8
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....4be9444ae651578b83c4d678129bd4dc